Dain Lee

615 total citations
29 papers, 481 citations indexed

About

Dain Lee is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dain Lee has authored 29 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 5 papers in Materials Chemistry and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dain Lee's work include Advanced Memory and Neural Computing (4 papers), 2D Materials and Applications (4 papers) and COVID-19 diagnosis using AI (3 papers). Dain Lee is often cited by papers focused on Advanced Memory and Neural Computing (4 papers), 2D Materials and Applications (4 papers) and COVID-19 diagnosis using AI (3 papers). Dain Lee collaborates with scholars based in South Korea, Indonesia and United States. Dain Lee's co-authors include Jeong Ho Cho, Youngbin Lee, Yongsuk Choi, E. H. Hwang, Seungwoo Lee, Jong Su Kim, Hakjoo Oh, Hak Sun Yu, Shin Ae Kang and Jun Ho Choi and has published in prestigious journals such as Advanced Materials, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Dain Lee

24 papers receiving 470 citations

Peers

Dain Lee
Bin Fang United States
Zirui Chen China
Chaofan Wang China
Qianyuan Li China
M. Yamaguchi Japan
Yuechen Wang China
Qiannan Jia China
Albert Lee United States
Bin Fang United States
Dain Lee
Citations per year, relative to Dain Lee Dain Lee (= 1×) peers Bin Fang

Countries citing papers authored by Dain Lee

Since Specialization
Citations

This map shows the geographic impact of Dain Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dain Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dain Lee more than expected).

Fields of papers citing papers by Dain Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dain Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dain Lee. The network helps show where Dain Lee may publish in the future.

Co-authorship network of co-authors of Dain Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Dain Lee. A scholar is included among the top collaborators of Dain Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dain Lee. Dain Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jeon, Ki‐Hyun, Taeho Hur, Minjae Yoon, et al.. (2025). Novel Approach to Acute Heart Failure Risk Stratification Using AI-Derived Congestion Index from Chest Radiographs and Clinical Parameter. Studies in health technology and informatics. 329. 1888–1889.
2.
Kim, Jongmin, Dain Lee, Yong Hwy Kim, et al.. (2025). Developing Deep Learning–Based Cerebral Ventricle Auto-Segmentation System and Clinical Application for the Evaluation of Ventriculomegaly. World Neurosurgery. 201. 124300–124300.
3.
Lee, Dain, et al.. (2025). Vaccine failure mode determines population-level impact of vaccination campaigns during epidemics. Journal of The Royal Society Interface. 22(223). 20240689–20240689. 2 indexed citations
4.
Kim, Yu-Seop, Jae Guk Kim, Hyun Young Choi, et al.. (2024). Detection of Aortic Dissection and Intramural Hematoma in Non-Contrast Chest Computed Tomography Using a You Only Look Once-Based Deep Learning Model. Journal of Clinical Medicine. 13(22). 6868–6868. 2 indexed citations
5.
6.
Nurkolis, Fahrul, Rony Abdi Syahputra, Dain Lee, et al.. (2024). Elucidating the nexus between onco-immunology and kidney transplantation: An insight from precision medicine perspective. Heliyon. 10(13). e33751–e33751.
7.
Khan, Fahad, Pratibha Pandey, Meenakshi Verma, et al.. (2024). Emerging trends of phytochemicals as ferroptosis modulators in cancer therapy. Biomedicine & Pharmacotherapy. 173. 116363–116363. 18 indexed citations
8.
Kim, Yu-Seop, Dain Lee, Seri Jeong, et al.. (2023). Comparison of the Diagnostic Performance of Deep Learning Algorithms for Reducing the Time Required for COVID-19 RT–PCR Testing. Viruses. 15(2). 304–304. 1 indexed citations
9.
Yamuna, Annamalai, Natarajan Karikalan, Dain Lee, & Tae Yoon Lee. (2023). Engineered tenorite structure of barium-enriched copper oxide for on-site monitoring of cytotoxic methotrexate in environmental samples. Journal of Hazardous Materials. 451. 131158–131158. 10 indexed citations
10.
Kim, Yu-Seop, Dain Lee, Seri Jeong, et al.. (2022). The application of a deep learning system developed to reduce the time for RT-PCR in COVID-19 detection. Scientific Reports. 12(1). 1234–1234. 26 indexed citations
11.
Lee, Dain, et al.. (2022). Coking Test Using Jet A-1 and Desulfurized Kerosene in a Regenerative Cooling Channel Environment. International Journal of Aeronautical and Space Sciences. 23(3). 546–556. 1 indexed citations
12.
Lee, Dain, et al.. (2022). Jet A-1 Coking Tests under Conditions Simulating Gas Turbine Combustor. Journal of the Korean Society of Propulsion Engineers. 26(1). 1–11. 1 indexed citations
13.
Kang, Shin Ae, et al.. (2020). Trichinella spiralis infection ameliorated diet-induced obesity model in mice. International Journal for Parasitology. 51(1). 63–71. 21 indexed citations
14.
Park, Jeong Yun & Dain Lee. (2020). Experience and Satisfaction of Cancer Patients With a Central Venous Catheter at a Tertiary Hospital in South Korea. Journal of Infusion Nursing. 43(2). 97–102. 6 indexed citations
15.
Kang, Shin Ae, et al.. (2019). Adoptive transfer of Trichinella spiralis-activated macrophages can ameliorate both Th1- and Th2-activated inflammation in murine models. Scientific Reports. 9(1). 6547–6547. 39 indexed citations
16.
Sun, Jia, Min Je Kim, Myeongjae Lee, et al.. (2017). High-Performance Polymer Semiconductor-Based Nonvolatile Memory Cells with Nondestructive Read-Out. The Journal of Physical Chemistry C. 121(43). 24352–24357. 7 indexed citations
17.
Lee, Dain, Yongsuk Choi, E. H. Hwang, et al.. (2016). Black phosphorus nonvolatile transistor memory. Nanoscale. 8(17). 9107–9112. 41 indexed citations
18.
Lee, Dain, E. H. Hwang, Youngbin Lee, et al.. (2016). Multibit MoS2 Photoelectronic Memory with Ultrahigh Sensitivity. Advanced Materials. 28(41). 9196–9202. 164 indexed citations
19.
Lee, Youngbin, Jae-Hyun Yang, Dain Lee, et al.. (2016). Trap-induced photoresponse of solution-synthesized MoS2. Nanoscale. 8(17). 9193–9200. 59 indexed citations
20.
Park, Jin‐Sung, Yong Won Kim, Ho‐Won Lee, et al.. (2011). Unilateral Negative Myoclonus Caused by Herpes Simplex Virus Encephalitis. Journal of Movement Disorders. 4(1). 49–52. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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